Why this work is in the frame
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Bibliographic record
Abstract
In the mobile electrocardiogram( ECG) tele- monitoring system,the real- time QRS wave detection and analysis of arrhythmia are crucial issues. This paper firstly utilizes Pan- Tompkins algorithm to detect QRS wave,and distinguishes sinus rhythm( SR) and arrhythmia; then uses Lempel- Ziv( LZ) complexity algorithm based on coarse- graining process to analyze the arrhythmia. By testing on 100 sinus rhythm segments,120 ventricular tachycardia( VT) segments and 60 ventricular fibrillation( VF) segments from MIT /BIH database,the result shows that LZ complexity algorithm based on K- Mean coarse- graining process can separate VT and VF effectively,which is a practical method for arrhythmia analysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it